source("002-LoadData.R")
library(stats)
library(forcats)
library(effsize)
library(clinfun)
library(ggplot2)
library(reshape2)
digiArea <- c("element_density","tag_density","user_density","area_diversity")
contribIndepVar <- c("quantity","discussion_size","notes_size")
## statistics on seniors
for (variableName in names(dependentV.changes)){
print("")
print("========================================================================")
print(paste("RESULTS FOR VARIABLE",variableName))
print("========================================================================")
print("")
print("")
jitterplot <- ggplot(dependentV.changes,aes(x=independentV.mappers$timeRange,
y=dependentV.changes[,variableName]))+
geom_count(position="jitter",aes(color=independentV.mappers$HappeningType))+
labs(title=variableName)+
scale_color_manual(values=c("#8c510a","#01665e","#5ab4ac"))+
theme(legend.title = element_blank(),
axis.title.x = element_blank(),
axis.title.y=element_blank())+
scale_y_continuous(trans='pseudo_log')
print(jitterplot)
print("")
lineplot <- ggplot(dependentV.changes,aes(x=independentV.mappers$timeRange,
group=interaction(independentV.mappers$Mapperid,independentV.mappers$Happeningid),
y=dependentV.changes[,variableName]))+
labs(title=variableName)+
scale_color_manual(values=c("#8c510a","#01665e","#5ab4ac"))+
theme(legend.title = element_blank(),
axis.title.x = element_blank(),
axis.title.y=element_blank())+
geom_line(aes(color=independentV.mappers$HappeningType))+
scale_y_continuous(trans='pseudo_log')
print(lineplot)
print("")
print("Boxplot on contributors only: ")
boxplot <- ggplot(dependentV.changes[independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0,],
aes(x=independentV.mappers[independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0,"timeRange"],
color=independentV.mappers[independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0,"HappeningType"],
y=dependentV.changes[independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0,variableName]))+
geom_boxplot()+
labs(title=variableName)+
scale_color_manual(values=c("#8c510a","#01665e","#5ab4ac"))+
theme(legend.title = element_blank(),
axis.title.x = element_blank(),
axis.title.y=element_blank())+
scale_y_continuous(trans='pseudo_log')
print(boxplot)
print("")
for(i in levels(independentV.mappers$timeRange)){
#skip forbidden variables
if(i=="one month"&any(digiArea==variableName)){
next
}
#get data for time interaval and variable
if(any(contribIndepVar==variableName)){
variable <- dependentV.changes[independentV.mappers$timeRange==i,variableName]
classes <- independentV.mappers[independentV.mappers$timeRange==i,"HappeningType"]
}else{
variable <- dependentV.changes[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0,variableName]
classes <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0,"HappeningType"]
}
print("")
print(paste("Time frame: ",i))
print("")
print("N:")
print(summary(classes))
print("")
print(paste("Summary Statistics for variable ",variableName))
print(aggregate(variable,by=list(classes),FUN=summary))
print("")
#kruskal test
kruskal <- kruskal.test(x=variable,g=classes)
if(kruskal$p.value<=0.05){
print("")
print(paste(variableName,"is significantly influenced by an event for",i))
print("")
print("")
# wilcox pariwise post hoc
#http://www.sthda.com/english/wiki/kruskal-wallis-test-in-r
wilcox <- pairwise.wilcox.test(x=variable,g=classes,p.adjust.method = "BH")
print("Pairwise comparison: ")
print(wilcox$p.value)
# mode IVs for CFM
if(wilcox$p.value["CFM","CG"]<=0.05){
print(paste("Cohends d for effect size of the CFM on",variableName,":"))
print(cohen.d(d=variable[classes!="CRM"],f=fct_drop(classes[classes!="CRM"])))
print("")
if(any(contribIndepVar==variableName)){
variable1 <- dependentV.changes[independentV.mappers$timeRange==i&
independentV.mappers$HappeningType=="CFM",variableName]
#skill
classes1 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$HappeningType=="CFM","skill"]
}else{
variable1 <- dependentV.changes[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0&
independentV.mappers$HappeningType=="CFM",variableName]
#skill
classes1 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0&
independentV.mappers$HappeningType=="CFM","skill"]
}
print("N:")
print(length(classes1))
model <- lm(variable1~classes1)
if(any(summary(model)$coefficients[2,4]<=0.05)){
print("Analyses of the effect of skill for CFM")
{ sink("/dev/null"); print(plot(classes1,variable1,log="x",main="The skill has an effect",
sub=paste("on this variable (",variableName,") for CFM"))); sink(); }
print(abline(model))
print(plot.new())
print(summary(model))
print("")
}
if(any(contribIndepVar==variableName)){
# economic status
classes1 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$HappeningType=="CFM","economic_status"]
}else{
# economic status
classes1 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0&
independentV.mappers$HappeningType=="CFM","economic_status"]
}
jockey <- jonckheere.test(variable1,classes1,nperm=1000)
print("N:")
print(summary(classes1))
print("")
print("Summary Statistics: ")
print(aggregate(variable1,by=list(classes1),FUN=summary))
print("")
if(jockey$p.value<=0.05){
wilcox2 <- pairwise.wilcox.test(x=variable1,g=classes1,p.adjust.method = "BH")
if(any(wilcox2$p.value<=0.05,na.rm=TRUE)){
print("Pairwise comparison: ")
print(wilcox2$p.value)
print(paste("Analyses of the effect of the economic status for CFM with a p-value of",jockey$p.value))
{ sink("/dev/null"); print(plot(x=classes1,
y=variable1,
main="The economic status has an effect",
sub=paste("on this variable (",variableName,") for CFM")));
sink(); }
print(plot.new())
print("")
}
}
#culture
if(any(contribIndepVar==variableName)){
classes1 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$HappeningType=="CFM","culture"]
}else{
classes1 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0&
independentV.mappers$HappeningType=="CFM","culture"]
}
classes1 <- fct_drop(fct_lump_min(classes1,min=10))
print("N:")
print(summary(classes1))
print("")
print("Summary Statistics: ")
print(aggregate(variable1,by=list(classes1),FUN=summary))
print("")
if(length(levels(classes1))>1){
kruskal2 <- kruskal.test(x=variable1,g=classes1)
if(kruskal2$p.value<=0.05){
wilcox2 <- pairwise.wilcox.test(x=variable1,g=classes1,p.adjust.method = "BH")
if(any(wilcox2$p.value<=0.05,na.rm=TRUE)){
print("")
print(paste(variableName,"is significantly influenced by at least one culture for CFM with p=",kruskal2$p.value))
print("")
print("Pairwise comparison: ")
print(wilcox2$p.value)
{ sink("/dev/null"); print(plot(classes1,variable1,main="The culture has an effect",
sub=paste("on this variable (",variableName,") for CFM"))); sink(); }
print(plot.new())
print("")
}
}
}
}
# other IVs for CRM
if(wilcox$p.value["CRM","CG"]<=0.05){
print(paste("Cohends d for effect size of the CRM on",variableName,":"))
print(cohen.d(d=variable[classes!="CFM"],f=fct_drop(classes[classes!="CFM"])))
print("")
if(any(contribIndepVar==variableName)){
#skill
variable2 <- dependentV.changes[independentV.mappers$timeRange==i&
independentV.mappers$HappeningType=="CRM",variableName]
classes2 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$HappeningType=="CRM","skill"]
}else{
#skill
variable2 <- dependentV.changes[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0&
independentV.mappers$HappeningType=="CRM",variableName]
classes2 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0&
independentV.mappers$HappeningType=="CRM","skill"]
}
print("N:")
print(length(classes2))
print("")
model <- lm(variable2~classes2)
if(any(summary(model)$coefficients[2,4]<=0.05,na.rm = TRUE)){
print("Analyses of the effect of skill for CRM")
{ sink("/dev/null"); print(plot(classes2,variable2,log="x",main="The skill has an effect",
sub=paste("on this variable (",variableName,") for CRM"))); sink(); }
print(abline(model))
print(plot.new())
print(summary(model))
print("")
}
if(any(contribIndepVar==variableName)){
## distance during event
classes2 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$HappeningType=="CRM","event_mapping_distance"]
}else{
## distance during event
classes2 <- independentV.mappers[independentV.mappers$timeRange==i&
independentV.mappers$contribBefore>0&
independentV.mappers$contribAfter>0&
independentV.mappers$HappeningType=="CRM","event_mapping_distance"]
}
print("N:")
print(length(classes2))
print("")
model <- lm(variable2~classes2)
if(any(summary(model)$coefficients[2,4]<=0.05)){
print("Analyses of the effect of the distance to the Region mapped during the event for CRM")
{ sink("/dev/null"); print(plot(classes2,variable2,log="x",main="The event mapping distance has an effect",
sub=paste("on this variable (",variableName,") for CRM"))); sink(); }
print(abline(model))
print(plot.new())
print(summary(model))
print("")
}
}
# between happenings
if(wilcox$p.value["CRM","CFM"]<=0.05){
print(paste("Cohends d for effect size between CRM and CFM on",variableName,":"))
print(cohen.d(d=variable[classes!="CG"],f=fct_drop(classes[classes!="CG"])))
print("")
}
}
print("")
print("")
print("--------------------------------------------------------------------------------")
print("")
print("")
}
}
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE quantity"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 218 123 189
## [1] ""
## [1] "Summary Statistics for variable quantity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.0000000 0.0000000 0.0000000 0.2461348 0.0000000
## 2 CFM -1.0000000 -0.1330458 1.0000000 2.9434328 2.6000834
## 3 CRM -1.0000000 0.0000000 0.0000000 4.7565906 1.0000000
## x.Max.
## 1 25.7272727
## 2 81.4210526
## 3 282.1875000
## [1] ""
## [1] ""
## [1] "quantity is significantly influenced by an event for one month"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 1.687748e-08 NA
## CRM 1.896750e-03 0.00189675
## [1] "Cohends d for effect size of the CFM on quantity :"
##
## Cohen's d
##
## d estimate: -0.4908005 (small)
## 95 percent confidence interval:
## lower upper
## -0.7156782 -0.2659227
## [1] ""
## [1] "N:"
## [1] 123
## [1] "N:"
## low income lower middle income upper middle income
## 5 9 33
## high income
## 76
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 low income -0.883272449 0.353499407 4.946595461 3.792411572
## 2 lower middle income -0.534629405 0.096224156 1.000000000 0.904327761
## 3 upper middle income -1.000000000 -0.615384615 0.000000000 1.335589161
## 4 high income -1.000000000 -0.006322957 1.000000000 3.827194473
## x.3rd Qu. x.Max.
## 1 6.820567376 7.724668064
## 2 1.000000000 3.243902439
## 3 1.000000000 20.886363636
## 4 3.193096377 81.421052632
## [1] ""
## [1] "N:"
## Japanese Latin American Orthodox Western
## 18 35 11 54
## Other
## 5
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 Japanese -0.3333333 0.5544925 1.8795219 8.0677528 5.6646825
## 2 Latin American -1.0000000 -0.6360505 0.0000000 1.1421828 1.0000000
## 3 Orthodox -1.0000000 0.0000000 0.7656250 0.5953268 1.0000000
## 4 Western -1.0000000 -0.1656289 1.0000000 2.7477578 2.7843211
## 5 Other 0.3534994 2.0734317 4.9465955 4.3837524 6.8205674
## x.Max.
## 1 81.4210526
## 2 20.8863636
## 3 2.8356808
## 4 27.5000000
## 5 7.7246681
## [1] ""
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot
## compute exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot
## compute exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot
## compute exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot
## compute exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot
## compute exact p-value with ties
## [1] ""
## [1] "quantity is significantly influenced by at least one culture for CFM with p= 0.00199138224393104"
## [1] ""
## [1] "Pairwise comparison: "
## Japanese Latin American Orthodox Western
## Latin American 0.005395134 NA NA NA
## Orthodox 0.041315287 0.49646492 NA NA
## Western 0.067004881 0.10472179 0.53820322 NA
## Other 0.538203216 0.04131529 0.05663624 0.1180635
## NULL
## [1] ""
## [1] "Cohends d for effect size of the CRM on quantity :"
##
## Cohen's d
##
## d estimate: -0.2591213 (small)
## 95 percent confidence interval:
## lower upper
## -0.45531797 -0.06292461
## [1] ""
## [1] "N:"
## [1] 189
## [1] ""
## [1] "N:"
## [1] 189
## [1] ""
## [1] "Cohends d for effect size between CRM and CFM on quantity :"
##
## Cohen's d
##
## d estimate: -0.08838066 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.3164376 0.1396762
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 185 102 139
## [1] ""
## [1] "Summary Statistics for variable quantity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.0000000 -0.8340860 0.0000000 1.4068888 1.0000000
## 2 CFM -1.0000000 -0.5862802 0.0000000 1.6199766 1.0000000
## 3 CRM -1.0000000 -0.8623970 0.0000000 5.9681038 0.9982794
## x.Max.
## 1 149.0000000
## 2 62.4064855
## 3 493.6666667
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 168 93 115
## [1] ""
## [1] "Summary Statistics for variable quantity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -1.00000000 -0.95984250 0.00000000 1.48590036
## 2 CFM -1.00000000 -0.45007873 0.00000000 18.31582607
## 3 CRM -1.00000000 -0.28478303 0.01215399 4.50115580
## x.3rd Qu. x.Max.
## 1 0.20480549 159.57142857
## 2 1.00000000 1413.50000000
## 3 1.00000000 210.05128205
## [1] ""
## [1] ""
## [1] "quantity is significantly influenced by an event for one year"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.0054324572 NA
## CRM 0.0004748266 0.6397987
## [1] "Cohends d for effect size of the CFM on quantity :"
##
## Cohen's d
##
## d estimate: -0.191 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.44604277 0.06404267
## [1] ""
## [1] "N:"
## [1] 93
## [1] "N:"
## low income lower middle income upper middle income
## 2 9 22
## high income
## 60
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median
## 1 low income 23.47872340 36.02262280 48.56652220
## 2 lower middle income -0.38924615 0.00000000 1.00000000
## 3 upper middle income -1.00000000 -0.91499504 -0.33764365
## 4 high income -1.00000000 -0.36276470 0.04642127
## x.Mean x.3rd Qu. x.Max.
## 1 48.56652220 61.11042159 73.65432099
## 2 1.10675154 1.00000000 4.31669188
## 3 -0.11790864 0.00000000 5.37133183
## 4 26.64786678 1.08003673 1413.50000000
## [1] ""
## [1] "N:"
## Japanese Latin American Western Other
## 16 25 43 9
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 Japanese -0.9448231 -0.3266622 0.6634430 4.7265037
## 2 Latin American -1.0000000 -0.3659926 0.0000000 3.1947887
## 3 Western -1.0000000 -0.4196624 0.1492206 35.5212450
## 4 Other -0.9332344 -0.9022604 -0.3775147 2.2738347
## x.3rd Qu. x.Max.
## 1 1.5734435 63.5558376
## 2 0.1432343 73.6543210
## 3 1.4611650 1413.5000000
## 4 0.0000000 23.4787234
## [1] ""
## [1] "Cohends d for effect size of the CRM on quantity :"
##
## Cohen's d
##
## d estimate: -0.1717424 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.41040448 0.06691971
## [1] ""
## [1] "N:"
## [1] 115
## [1] ""
## [1] "N:"
## [1] 115
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 133 76 85
## [1] ""
## [1] "Summary Statistics for variable quantity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -1.0000000 -0.9098901 0.0000000 1.2974271
## 2 CFM -1.0000000 -0.6596083 -0.1750173 203.5083222
## 3 CRM -1.0000000 -0.1915633 0.0000000 265.0007132
## x.3rd Qu. x.Max.
## 1 1.0000000 51.0000000
## 2 1.0000000 14923.0000000
## 3 1.0000000 22191.0000000
## [1] ""
## [1] ""
## [1] "quantity is significantly influenced by an event for two years"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.22943493 NA
## CRM 0.03939687 0.2294349
## [1] "Cohends d for effect size of the CRM on quantity :"
##
## Cohen's d
##
## d estimate: -0.1757132 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.44991935 0.09849296
## [1] ""
## [1] "N:"
## [1] 85
## [1] ""
## [1] "N:"
## [1] 85
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE creations_share"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable creations_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -0.6575342466 -0.1001557838 0.0000000000 -0.0236385337
## 2 CFM -1.0000000000 -0.1260608171 0.0008886685 -0.0065046870
## 3 CRM -1.0000000000 -0.1731707317 0.0153846154 -0.0009941808
## x.3rd Qu. x.Max.
## 1 0.0800928859 0.7352941176
## 2 0.1298748228 0.6479357173
## 3 0.1785189847 0.9265822785
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable creations_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.687500000 -0.225043155 -0.043773196 -0.022170388 0.108294931
## 2 CFM -0.880052269 -0.149991446 -0.007546221 -0.032963735 0.118490292
## 3 CRM -0.682670988 -0.223181306 -0.009322034 -0.033375710 0.134105284
## x.Max.
## 1 1.000000000
## 2 0.698911025
## 3 0.603887147
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable creations_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -0.5598287795 -0.1113595252 0.0246382121 0.0556706741
## 2 CFM -0.6937962834 -0.1811453206 0.0024083534 -0.0005635426
## 3 CRM -0.8254548138 -0.1906173477 -0.0490154145 -0.0332562716
## x.3rd Qu. x.Max.
## 1 0.1880443988 1.0000000000
## 2 0.1060103926 0.7235772358
## 3 0.1220621981 0.8350140056
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable creations_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.980769231 -0.243653988 -0.040670981 -0.044102018 0.180815219
## 2 CFM -0.757852968 -0.233930875 -0.003676308 -0.030150397 0.091889002
## 3 CRM -0.444640962 -0.232972226 -0.058525660 0.001258369 0.186596562
## x.Max.
## 1 0.762711864
## 2 0.692084942
## 3 0.750000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE tag_changes_share"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable tag_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 -0.125896934 -0.001194743 -0.047675820 0.048508793
## 2 CFM -0.824561404 -0.093929255 0.001476258 0.031458367 0.117949847
## 3 CRM -0.350911434 -0.043543689 0.000000000 0.051776615 0.079487179
## x.Max.
## 1 0.500000000
## 2 1.000000000
## 3 0.755555556
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable tag_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 -0.083703131 0.007955372 -0.004191702 0.113333333
## 2 CFM -1.000000000 -0.039142494 0.033778273 0.053798004 0.111204268
## 3 CRM -0.299529914 -0.027392648 0.005788712 0.038542300 0.050409547
## x.Max.
## 1 0.812500000
## 2 0.906474820
## 3 0.538815067
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable tag_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -1.0000000000 -0.0959909656 -0.0151564829 -0.0174636738
## 2 CFM -0.6914285714 -0.0597715343 -0.0008795558 -0.0191133312
## 3 CRM -0.3805507508 -0.0684707344 -0.0029411765 0.0100766112
## x.3rd Qu. x.Max.
## 1 0.1285256410 0.5855555556
## 2 0.0426491713 0.6781811865
## 3 0.0495519066 0.8835978836
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable tag_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.92592593 -0.10919081 0.02076883 0.08064153 0.26791366
## 2 CFM -0.69599211 -0.11429731 -0.01200083 0.02146650 0.15358865
## 3 CRM -0.37326131 -0.07076923 -0.01140615 -0.02476001 0.02526892
## x.Max.
## 1 0.89900111
## 2 0.77056277
## 3 0.33557800
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE geometry_changes_share"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable geometry_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.52941176 -0.12862564 0.01543608 0.05476847 0.14676408
## 2 CFM -0.50246508 -0.10427251 -0.01913163 0.00321374 0.11219989
## 3 CRM -0.93417722 -0.19628647 -0.04788906 -0.04935839 0.06666667
## x.Max.
## 1 1.00000000
## 2 0.47621319
## 3 1.00000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable geometry_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.950000000 -0.095173417 0.022672247 0.032608779 0.166666667
## 2 CFM -0.693057430 -0.106353887 -0.004795512 -0.007835090 0.072508192
## 3 CRM -0.601528925 -0.128536656 -0.004433012 0.002353978 0.130519481
## x.Max.
## 1 0.744186047
## 2 0.743411928
## 3 0.489584712
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable geometry_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.633333333 -0.184419912 -0.081027668 -0.052200865 0.065193510
## 2 CFM -0.544627077 -0.057868778 -0.001710282 -0.003644488 0.071265967
## 3 CRM -0.762116716 -0.210131243 0.010269366 -0.036683273 0.121573068
## x.Max.
## 1 0.516129032
## 2 0.526785714
## 3 0.834754050
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable geometry_changes_share"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.80974415 -0.27422279 -0.03789800 -0.05584130 0.17824850
## 2 CFM -0.99567100 -0.10947165 -0.02770149 -0.01327344 0.14752621
## 3 CRM -0.52737002 -0.20104452 0.00976335 -0.01542560 0.18813920
## x.Max.
## 1 0.55205950
## 2 0.50577300
## 3 0.47824549
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE edit_diversity"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable edit_diversity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.14376227 -0.33263312 0.00000000 -0.06971464 0.21702523
## 2 CFM -1.70786050 -0.20065577 0.11182827 0.13851699 0.49003247
## 3 CRM -1.79803858 -0.66797221 -0.23301179 -0.04203377 0.50266155
## x.Max.
## 1 2.51559359
## 2 2.16831026
## 3 2.38211647
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable edit_diversity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.92839993 -0.61447798 -0.00742398 -0.04457572 0.28417065
## 2 CFM -2.29465344 -0.11925552 0.10436179 0.11652432 0.55010868
## 3 CRM -1.29027001 -0.20472745 0.24561491 0.26379599 0.68525977
## x.Max.
## 1 2.68289115
## 2 2.11140843
## 3 2.16026510
## [1] ""
## [1] ""
## [1] "edit_diversity is significantly influenced by an event for six months"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.12476388 NA
## CRM 0.03047654 0.2942714
## [1] "Cohends d for effect size of the CRM on edit_diversity :"
##
## Cohen's d
##
## d estimate: -0.3693338 (small)
## 95 percent confidence interval:
## lower upper
## -0.71173544 -0.02693207
## [1] ""
## [1] "N:"
## [1] 71
## [1] ""
## [1] "N:"
## [1] 71
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable edit_diversity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -2.31165349 -0.94953461 -0.45836025 -0.44715086 0.06208216
## 2 CFM -2.19914408 -0.45970259 -0.15149802 -0.12113047 0.22091517
## 3 CRM -2.20689119 -0.86699488 -0.14225759 -0.22573654 0.38928102
## x.Max.
## 1 2.29123048
## 2 1.66113036
## 3 1.65911820
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable edit_diversity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -2.97325576 -1.09017640 -0.25792778 -0.38237963 0.31977482
## 2 CFM -2.60925273 -0.59504122 -0.03212027 -0.19961145 0.26105365
## 3 CRM -1.95919616 -0.59864993 -0.03368777 -0.05340236 0.38381580
## x.Max.
## 1 1.97850957
## 2 2.16899146
## 3 2.54742710
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE edit_complexity"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable edit_complexity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -2.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 CFM -2.00000000 0.00000000 0.00000000 -0.03571429 0.00000000
## 3 CRM -1.00000000 0.00000000 0.00000000 0.01639344 0.00000000
## x.Max.
## 1 3.00000000
## 2 2.00000000
## 3 1.00000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable edit_complexity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.00000000 0.00000000 0.00000000 -0.03076923 0.00000000
## 2 CFM -1.00000000 0.00000000 0.00000000 -0.11111111 0.00000000
## 3 CRM -1.00000000 0.00000000 0.00000000 0.08450704 0.00000000
## x.Max.
## 1 3.00000000
## 2 1.00000000
## 3 3.00000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable edit_complexity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -2.00000000 0.00000000 0.00000000 -0.08474576 0.00000000
## 2 CFM -2.00000000 0.00000000 0.00000000 0.11764706 0.00000000
## 3 CRM -4.00000000 0.00000000 0.00000000 -0.05172414 0.00000000
## x.Max.
## 1 3.00000000
## 2 4.00000000
## 3 1.00000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable edit_complexity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -4.00000000 0.00000000 0.00000000 -0.01587302 0.00000000
## 2 CFM -1.00000000 0.00000000 0.00000000 0.07936508 0.00000000
## 3 CRM -1.00000000 0.00000000 0.00000000 0.22448980 1.00000000
## x.Max.
## 1 2.00000000
## 2 3.00000000
## 3 3.00000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE quality"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable quality"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 -0.065218026 0.000000000 -0.015124392 0.092072511
## 2 CFM -1.166666667 -0.069919308 -0.002365963 -0.020397315 0.067905862
## 3 CRM -0.895794099 -0.120332850 -0.003859687 -0.017884805 0.128205128
## x.Max.
## 1 1.000000000
## 2 0.706842165
## 3 0.771095571
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable quality"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.187500000 -0.104353011 -0.029221298 -0.044264684 0.030350877
## 2 CFM -0.500000000 -0.123188406 -0.017543860 -0.009974484 0.038601375
## 3 CRM -0.664615385 -0.167036871 -0.006729900 -0.046344662 0.070638974
## x.Max.
## 1 1.000000000
## 2 0.837003463
## 3 0.603795967
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable quality"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.382344828 -0.067125720 0.000000000 0.012860648 0.081439394
## 2 CFM -0.664524242 -0.076776338 -0.018462545 -0.004801161 0.075952388
## 3 CRM -0.739700375 -0.186136694 -0.029829113 -0.077379566 0.128422803
## x.Max.
## 1 0.750000000
## 2 0.501186107
## 3 0.568347339
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable quality"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.545454545 -0.072960078 -0.013888889 -0.000685024 0.086890497
## 2 CFM -0.354379468 -0.127365097 -0.009659735 0.001172579 0.052231745
## 3 CRM -0.780626781 -0.100085218 -0.010303311 0.047495898 0.115677928
## x.Max.
## 1 0.336649802
## 2 0.783275329
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE element_density"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable element_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.29214447 -0.83129085 -0.36757852 -0.30576359 -0.02316485
## 2 CFM -15.46749935 -1.07873555 -0.26228247 -0.64209874 0.11038270
## 3 CRM -14.43749929 -0.53146193 -0.06548427 -0.55009480 0.02589848
## x.Max.
## 1 9.45304035
## 2 8.16383192
## 3 1.08933334
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable element_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -16.68428915 -1.37243995 -0.42650976 -1.07554231 -0.08482411
## 2 CFM -18.72012236 -2.22089700 -0.70673807 -1.72473370 -0.18716077
## 3 CRM -20.60769904 -1.09811668 -0.53159468 -1.21595118 -0.22564655
## x.Max.
## 1 8.65281447
## 2 2.17562000
## 3 0.24634054
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable element_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -34.381616769 -1.450171073 -0.272084952 -1.384673511
## 2 CFM -57.156974358 -2.759446417 -1.381334674 -2.985021771
## 3 CRM -23.745956068 -1.181449585 -0.470173414 -1.517775519
## x.3rd Qu. x.Max.
## 1 0.033647901 11.735189891
## 2 -0.444256373 0.687898359
## 3 0.001454791 1.368294918
## [1] ""
## [1] ""
## [1] "element_density is significantly influenced by an event for two years"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.001595262 NA
## CRM 0.626390168 0.003174734
## [1] "Cohends d for effect size of the CFM on element_density :"
##
## Cohen's d
##
## d estimate: 0.2546607 (small)
## 95 percent confidence interval:
## lower upper
## -0.09942244 0.60874376
## [1] ""
## [1] "N:"
## [1] 63
## [1] "N:"
## low income lower middle income upper middle income
## 2 5 13
## high income
## 43
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 low income -2.5519636 -2.1373135 -1.7226635 -1.7226635
## 2 lower middle income -11.3465794 -2.4191744 -1.7355563 -3.7126154
## 3 upper middle income -5.2388697 -0.8676909 -0.3933291 -0.9849859
## 4 high income -57.1569744 -3.1145624 -1.5666489 -3.5637942
## x.3rd Qu. x.Max.
## 1 -1.3080135 -0.8933634
## 2 -1.6804321 -1.3813347
## 3 -0.1804580 0.0531250
## 4 -0.5689873 0.6878984
## [1] ""
## [1] "N:"
## Japanese Latin American Western Other
## 10 15 32 6
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 Japanese -6.3616220 -2.7729867 -0.8733865 -1.6889248
## 2 Latin American -3.4049810 -2.0741512 -0.5649409 -1.1434911
## 3 Western -57.1569744 -4.2490632 -1.6511026 -4.4410230
## 4 Other -5.2388697 -2.5187663 -1.6434326 -1.9836702
## x.3rd Qu. x.Max.
## 1 -0.4163755 0.4594882
## 2 -0.1432251 0.0531250
## 3 -0.8091837 0.6878984
## 4 -0.6417095 -0.2579405
## [1] ""
## [1] "Cohends d for effect size between CRM and CFM on element_density :"
##
## Cohen's d
##
## d estimate: -0.2384911 (small)
## 95 percent confidence interval:
## lower upper
## -0.6172888 0.1403066
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE tag_density"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable tag_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.52797725 -0.62271885 -0.02610442 -0.15402765 0.63270945
## 2 CFM -2.54876812 -0.31571610 0.04460608 0.06445798 0.34092268
## 3 CRM -2.55555556 -0.38695212 -0.05395488 0.05053628 0.46143363
## x.Max.
## 1 2.33502024
## 2 5.48576850
## 3 2.73568954
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable tag_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -2.716878843 -0.345849735 0.061705533 -0.043489349 0.505491787
## 2 CFM -2.397692570 -0.333023866 0.045753086 0.007608159 0.413475002
## 3 CRM -3.087121693 -0.494628332 0.078516192 0.076043562 0.574728753
## x.Max.
## 1 2.273569438
## 2 1.368481825
## 3 3.622892445
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable tag_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.078385668 -0.259308989 0.233623934 0.325730037 0.755341773
## 2 CFM -2.535835914 -0.262794362 0.063003393 0.089603186 0.538425875
## 3 CRM -3.224390244 -0.352708960 -0.002886209 -0.080390725 0.425820221
## x.Max.
## 1 3.637640449
## 2 2.631912553
## 3 2.547085764
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE user_density"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable user_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.743259804 -0.504462590 -0.191673303 -0.422027551 0.037418996
## 2 CFM -2.278513961 -0.274445326 -0.137547934 -0.120334526 0.079287124
## 3 CRM -5.136405465 -0.386252194 0.008603136 -0.200938850 0.329697618
## x.Max.
## 1 0.926498254
## 2 3.120493359
## 3 5.142857143
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable user_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.38389262 -0.57339665 -0.24726588 -0.43658630 -0.08191022
## 2 CFM -1.11247740 -0.43061260 -0.20168634 -0.20486311 0.03607641
## 3 CRM -5.21113625 -0.45345691 -0.16735498 -0.23558675 0.17095040
## x.Max.
## 1 2.33021807
## 2 0.76356186
## 3 3.22822300
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable user_density"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.923611111 -0.601714528 -0.205572242 -0.008933829 0.253646732
## 2 CFM -2.434578786 -0.670324271 -0.444121799 -0.486754114 -0.188410511
## 3 CRM -6.454545455 -1.110122620 -0.547407977 -0.677364394 -0.109672038
## x.Max.
## 1 2.926966292
## 2 0.383059082
## 3 3.604790419
## [1] ""
## [1] ""
## [1] "user_density is significantly influenced by an event for two years"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.004854688 NA
## CRM 0.004854688 0.3215774
## [1] "Cohends d for effect size of the CFM on user_density :"
##
## Cohen's d
##
## d estimate: 0.6465855 (medium)
## 95 percent confidence interval:
## lower upper
## 0.2848315 1.0083394
## [1] ""
## [1] "N:"
## [1] 63
## [1] "N:"
## low income lower middle income upper middle income
## 2 5 13
## high income
## 43
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 low income -0.89674299 -0.78533556 -0.67392814 -0.67392814
## 2 lower middle income -0.59137921 -0.58556936 -0.46615829 -0.43208258
## 3 upper middle income -2.43457879 -0.85615296 -0.52840389 -0.75124323
## 4 high income -1.19368610 -0.62777014 -0.33753421 -0.40444368
## x.3rd Qu. x.Max.
## 1 -0.56252071 -0.45111328
## 2 -0.41866241 -0.09864363
## 3 -0.42069234 0.38305908
## 4 -0.16068357 0.25732578
## [1] ""
## [1] "N:"
## Japanese Latin American Western Other
## 10 15 32 6
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 Japanese -0.65519863 -0.44210437 -0.25420747 -0.30557848
## 2 Latin American -2.43457879 -0.94329239 -0.79464081 -0.88826612
## 3 Western -1.19368610 -0.53170688 -0.35619404 -0.39644873
## 4 Other -0.59137921 -0.50908124 -0.43590281 -0.26656219
## x.3rd Qu. x.Max.
## 1 -0.16680404 -0.03821709
## 2 -0.51431268 -0.06484325
## 3 -0.15584845 0.25732578
## 4 -0.09830573 0.38305908
## [1] ""
## [1] ""
## [1] "user_density is significantly influenced by at least one culture for CFM with p= 0.00497984007002043"
## [1] ""
## [1] "Pairwise comparison: "
## Japanese Latin American Western
## Latin American 0.006723972 NA NA
## Western 0.797076719 0.006723972 NA
## Other 0.957792208 0.036709421 0.8881113
## NULL
## [1] ""
## [1] "Cohends d for effect size of the CRM on user_density :"
##
## Cohen's d
##
## d estimate: 0.5177255 (medium)
## 95 percent confidence interval:
## lower upper
## 0.134072 0.901379
## [1] ""
## [1] "N:"
## [1] 49
## [1] ""
## [1] "N:"
## [1] 49
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE area_diversity"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable area_diversity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.842857006 -0.341359788 -0.022531173 -0.179935160 0.167984308
## 2 CFM -1.422207457 -0.173104420 0.003082655 -0.021360185 0.201119421
## 3 CRM -1.362306597 -0.108057654 0.084905339 0.085573734 0.310994546
## x.Max.
## 1 0.630932466
## 2 1.195938631
## 3 1.158045511
## [1] ""
## [1] ""
## [1] "area_diversity is significantly influenced by an event for six months"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.19111535 NA
## CRM 0.01993412 0.1516106
## [1] "Cohends d for effect size of the CRM on area_diversity :"
##
## Cohen's d
##
## d estimate: -0.519696 (medium)
## 95 percent confidence interval:
## lower upper
## -0.8648936 -0.1744984
## [1] ""
## [1] "N:"
## [1] 71
## [1] ""
## [1] "N:"
## [1] 71
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable area_diversity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.554703226 -0.176157888 0.005653514 -0.034644440 0.243379302
## 2 CFM -1.135271729 -0.128462118 0.058205587 0.030616886 0.233352918
## 3 CRM -1.348208938 -0.337359188 0.029058086 -0.023853846 0.264225391
## x.Max.
## 1 0.903456940
## 2 0.734499021
## 3 1.290499385
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable area_diversity"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.79857415 -0.11932157 0.11664621 0.13975220 0.39377761
## 2 CFM -0.68532364 -0.06681390 0.06052850 0.08145187 0.22285255
## 3 CRM -1.72140025 -0.46433953 0.00395659 -0.07194113 0.18996466
## x.Max.
## 1 2.08883428
## 2 0.99696835
## 3 1.47322710
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE economic_distance"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable economic_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.00000000 0.00000000 0.00000000 -0.02259419 0.00000000
## 2 CFM -1.00000000 0.00000000 0.00000000 -0.02536913 0.00000000
## 3 CRM -1.00000000 -0.04826418 0.00000000 0.03397207 0.16648595
## x.Max.
## 1 0.61818182
## 2 0.02313285
## 3 1.00000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable economic_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.885364543 0.000000000 0.000000000 -0.021912483 0.000000000
## 2 CFM -1.000000000 0.000000000 0.000000000 0.013984017 0.003576595
## 3 CRM -0.961538462 -0.076697491 0.000000000 0.014205377 0.005290329
## x.Max.
## 1 0.663155721
## 2 0.804228051
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable economic_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.599595843 0.000000000 0.000000000 -0.019093086 0.000000000
## 2 CFM -0.871701331 0.000000000 0.000000000 0.003318972 0.008467907
## 3 CRM -1.000000000 -0.037265619 0.000000000 0.107274073 0.118770311
## x.Max.
## 1 0.607142857
## 2 1.000000000
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable economic_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -0.9847328244 0.0000000000 0.0000000000 0.0011126034
## 2 CFM -0.6832061069 -0.0004781185 0.0000000000 0.0296240086
## 3 CRM -0.9885386819 -0.0573461320 0.0087719298 0.1378210161
## x.3rd Qu. x.Max.
## 1 0.0000000000 0.4615555556
## 2 0.0116528541 0.9280936455
## 3 0.3804379730 1.0000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE cultural_distance"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable cultural_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 0.000000000 0.000000000 -0.022475459 0.000000000
## 2 CFM -1.000000000 0.000000000 0.000000000 -0.012749383 0.000000000
## 3 CRM -1.000000000 -0.075633015 0.000000000 -0.005261958 0.139488737
## x.Max.
## 1 0.618181818
## 2 0.497862030
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable cultural_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.82900480 0.00000000 0.00000000 -0.01473030 0.00000000
## 2 CFM -1.00000000 0.00000000 0.00000000 0.01973918 0.00911800
## 3 CRM -0.96153846 -0.05213316 0.00000000 0.03979331 0.02924433
## x.Max.
## 1 0.65695993
## 2 1.00000000
## 3 1.00000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable cultural_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.599595843 0.000000000 0.000000000 -0.014542715 0.000000000
## 2 CFM -0.721951220 0.000000000 0.000000000 0.019736584 0.007713745
## 3 CRM -1.000000000 -0.037265619 0.000000000 0.094057709 0.118770311
## x.Max.
## 1 0.607142857
## 2 1.000000000
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable cultural_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.984732824 0.000000000 0.000000000 -0.013708634 0.000000000
## 2 CFM -0.521682044 -0.033870080 0.000000000 0.001078209 0.008305939
## 3 CRM -0.988538682 -0.015303721 0.027253669 0.155215746 0.293630436
## x.Max.
## 1 0.461555556
## 2 0.928093645
## 3 1.000000000
## [1] ""
## [1] ""
## [1] "cultural_distance is significantly influenced by an event for two years"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.75210400 NA
## CRM 0.02889855 0.02889855
## [1] "Cohends d for effect size of the CRM on cultural_distance :"
##
## Cohen's d
##
## d estimate: -0.5716814 (medium)
## 95 percent confidence interval:
## lower upper
## -0.9566757 -0.1866871
## [1] ""
## [1] "N:"
## [1] 49
## [1] ""
## [1] "N:"
## [1] 49
## [1] ""
## [1] "Cohends d for effect size between CRM and CFM on cultural_distance :"
##
## Cohen's d
##
## d estimate: -0.5092217 (medium)
## 95 percent confidence interval:
## lower upper
## -0.8926756 -0.1257678
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE population_density_distance"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable population_density_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 -0.019534413 0.000000000 0.066822176 0.221725787
## 2 CFM -1.000000000 -0.087117344 0.009498418 0.079289501 0.173762241
## 3 CRM -1.000000000 -0.200000000 0.000000000 -0.034907111 0.070593735
## x.Max.
## 1 1.000000000
## 2 0.916335979
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable population_density_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.947112534 -0.015337049 0.000000000 0.060628108 0.165128205
## 2 CFM -0.952210275 -0.102382144 0.001862814 0.064503876 0.255883611
## 3 CRM -0.861538462 -0.029429799 0.049266507 0.171580350 0.437556376
## x.Max.
## 1 1.000000000
## 2 1.000000000
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable population_density_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.956326988 -0.111903977 0.000000000 -0.016065088 0.054112024
## 2 CFM -0.965008503 -0.099971057 0.005304855 0.003651063 0.132760980
## 3 CRM -1.000000000 -0.042023594 0.125526269 0.161710787 0.487744362
## x.Max.
## 1 0.909090909
## 2 0.715638818
## 3 1.000000000
## [1] ""
## [1] ""
## [1] "population_density_distance is significantly influenced by an event for one year"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.40329589 NA
## CRM 0.01013738 0.0221628
## [1] "Cohends d for effect size of the CRM on population_density_distance :"
##
## Cohen's d
##
## d estimate: -0.4742209 (small)
## 95 percent confidence interval:
## lower upper
## -0.8455977 -0.1028442
## [1] ""
## [1] "N:"
## [1] 58
## [1] ""
## [1] "N:"
## [1] 58
## [1] ""
## [1] "Analyses of the effect of the distance to the Region mapped during the event for CRM"
## Warning in xy.coords(x, y, xlabel, ylabel, log): 17 x values <= 0 omitted
## from logarithmic plot
## NULL
## NULL
##
## Call:
## lm(formula = variable2 ~ classes2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.06831 -0.25553 0.09345 0.25693 0.73195
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.03155 0.07667 -0.412 0.6822
## classes2 0.09987 0.02902 3.441 0.0011 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3975 on 56 degrees of freedom
## Multiple R-squared: 0.1746, Adjusted R-squared: 0.1598
## F-statistic: 11.84 on 1 and 56 DF, p-value: 0.001101
##
## [1] ""
## [1] "Cohends d for effect size between CRM and CFM on population_density_distance :"
##
## Cohen's d
##
## d estimate: -0.422367 (small)
## 95 percent confidence interval:
## lower upper
## -0.78003764 -0.06469641
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable population_density_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 -0.087653678 0.000000000 0.014547688 0.127355576
## 2 CFM -1.000000000 -0.108849945 -0.003737379 0.007075097 0.154065317
## 3 CRM -0.576612903 -0.009165103 0.072321737 0.107282666 0.255679571
## x.Max.
## 1 0.941176471
## 2 0.916666667
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE physical_geography_distance"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable physical_geography_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 0.000000000 0.000000000 0.023529533 0.004326411
## 2 CFM -1.000000000 0.000000000 0.000000000 0.013964297 0.014078705
## 3 CRM -1.000000000 -0.057578323 0.000000000 0.010796674 0.079539407
## x.Max.
## 1 1.000000000
## 2 0.992465016
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable physical_geography_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -0.800000000 -0.005816675 0.000000000 -0.007519380 0.012432432
## 2 CFM -0.404522809 -0.015833920 0.000000000 0.049127437 0.042527565
## 3 CRM -0.961538462 -0.010731333 0.000000000 0.084790851 0.079993147
## x.Max.
## 1 1.000000000
## 2 0.941666667
## 3 1.000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable physical_geography_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -1.000000000 -0.001526328 0.000000000 0.003429070 0.000000000
## 2 CFM -0.643410853 -0.021169292 0.000000000 0.008600134 0.044807436
## 3 CRM -1.000000000 -0.004314616 0.017614259 0.134813158 0.304305283
## x.Max.
## 1 0.607142857
## 2 1.000000000
## 3 1.000000000
## [1] ""
## [1] ""
## [1] "physical_geography_distance is significantly influenced by an event for one year"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.64921212 NA
## CRM 0.03970285 0.03970285
## [1] "Cohends d for effect size of the CRM on physical_geography_distance :"
##
## Cohen's d
##
## d estimate: -0.4423525 (small)
## 95 percent confidence interval:
## lower upper
## -0.81306923 -0.07163571
## [1] ""
## [1] "N:"
## [1] 58
## [1] ""
## [1] "N:"
## [1] 58
## [1] ""
## [1] "Cohends d for effect size between CRM and CFM on physical_geography_distance :"
##
## Cohen's d
##
## d estimate: -0.4239085 (small)
## 95 percent confidence interval:
## lower upper
## -0.78160750 -0.06620957
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable physical_geography_distance"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 CG -0.9675324675 -0.0036943665 0.0000000000 0.0121488346
## 2 CFM -1.0000000000 -0.0353591199 0.0000000000 0.0453609888
## 3 CRM -0.8715336729 -0.0570564449 0.0138623998 0.1438123693
## x.3rd Qu. x.Max.
## 1 0.0008741259 1.0000000000
## 2 0.1477890471 0.7879943625
## 3 0.3248407282 1.0000000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE comment_size"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 32 84 61
## [1] ""
## [1] "Summary Statistics for variable comment_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -3.00000000 -0.01879540 0.09770115 0.73148633 1.37500000
## 2 CFM -5.23958333 -0.38529641 0.00000000 -0.12328100 0.29182692
## 3 CRM -5.37500000 -0.80307692 0.08943089 -0.14552938 0.57547170
## x.Max.
## 1 6.87323944
## 2 5.24921630
## 3 11.06666667
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 65 81 71
## [1] ""
## [1] "Summary Statistics for variable comment_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -8.54545455 -0.16017316 0.27026175 0.18971503 1.20833333
## 2 CFM -10.66666667 -0.31406749 0.01845170 -0.04413231 0.48208617
## 3 CRM -3.23333333 -0.27924048 0.09821429 0.45928010 0.74730041
## x.Max.
## 1 4.58914729
## 2 7.06060606
## 3 5.50000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 59 68 58
## [1] ""
## [1] "Summary Statistics for variable comment_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -5.712121212 -0.166666667 0.437969925 0.768838161 1.307474618
## 2 CFM -6.650793651 -0.325924000 0.009915399 -0.058749366 0.403993444
## 3 CRM -4.217105263 -0.306406473 0.118842567 0.738354228 0.749631211
## x.Max.
## 1 8.000000000
## 2 2.023569024
## 3 13.981308411
## [1] ""
## [1] ""
## [1] "comment_size is significantly influenced by an event for one year"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.02973204 NA
## CRM 0.27829241 0.2782924
## [1] "Cohends d for effect size of the CFM on comment_size :"
##
## Cohen's d
##
## d estimate: 0.443159 (small)
## 95 percent confidence interval:
## lower upper
## 0.0867615 0.7995564
## [1] ""
## [1] "N:"
## [1] 68
## [1] "N:"
## low income lower middle income upper middle income
## 2 5 15
## high income
## 46
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 low income -2.099391481 -1.593007680 -1.086623880 -1.086623880
## 2 lower middle income -0.590613834 -0.357751259 -0.113398204 -0.163729006
## 3 upper middle income -1.317092723 0.009915399 0.094170865 0.381492305
## 4 high income -6.650793651 -0.374054277 -0.029963498 -0.146205406
## x.3rd Qu. x.Max.
## 1 -0.580240080 -0.073856280
## 2 -0.006387768 0.249506033
## 3 1.129395767 1.858974359
## 4 0.422995824 2.023569024
## [1] ""
## [1] "N:"
## Japanese Latin American Western Other
## 13 14 34 7
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 Japanese -0.39275956 -0.18603166 0.10555556 0.18350770
## 2 Latin American -2.09939148 -0.29076011 0.02980310 -0.09352430
## 3 Western -6.65079365 -0.53312292 -0.05854851 -0.28229089
## 4 Other -0.07385628 -0.01260346 0.08595709 0.64666762
## x.3rd Qu. x.Max.
## 1 0.60500000 1.03563510
## 2 0.14691222 1.27500000
## 3 0.26615003 2.02356902
## 4 1.34040256 1.85897436
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 63 63 49
## [1] ""
## [1] "Summary Statistics for variable comment_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -13.66666667 -0.50482582 0.25000000 0.07123241 1.16166667
## 2 CFM -2.09361472 -0.16113855 0.04421657 0.07405147 0.46661041
## 3 CRM -5.52691218 -0.55505708 0.11784512 -0.15606111 0.34800433
## x.Max.
## 1 11.99829060
## 2 1.92638037
## 3 5.14795918
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE discussion_size"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 218 123 189
## [1] ""
## [1] "Summary Statistics for variable discussion_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -38.0000000 0.0000000 0.0000000 -0.2270642 0.0000000
## 2 CFM -94.0000000 0.0000000 0.0000000 -0.4641557 0.0000000
## 3 CRM -31.0000000 0.0000000 0.0000000 0.9649408 0.0000000
## x.Max.
## 1 0.0000000
## 2 64.0000000
## 3 64.6666667
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 185 102 139
## [1] ""
## [1] "Summary Statistics for variable discussion_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -17.3076923 0.0000000 0.0000000 0.4334719 0.0000000
## 2 CFM -39.0000000 0.0000000 0.0000000 1.6546367 0.0000000
## 3 CRM -64.6666667 0.0000000 0.0000000 -1.1995889 0.0000000
## x.Max.
## 1 34.5000000
## 2 61.0000000
## 3 55.0000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 168 93 115
## [1] ""
## [1] "Summary Statistics for variable discussion_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -75.0000000 0.0000000 0.0000000 -0.5375000 0.0000000
## 2 CFM -122.0000000 0.0000000 0.0000000 -0.1991574 0.0000000
## 3 CRM -42.0000000 0.0000000 0.0000000 -0.4475362 0.0000000
## x.Max.
## 1 35.2000000
## 2 51.0000000
## 3 34.5000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 133 76 85
## [1] ""
## [1] "Summary Statistics for variable discussion_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -19.000000 0.000000 0.000000 1.995166 0.000000
## 2 CFM -62.000000 0.000000 0.000000 2.557235 7.125000
## 3 CRM -23.777778 0.000000 0.000000 5.757111 0.000000
## x.Max.
## 1 62.714286
## 2 65.000000
## 3 83.000000
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "========================================================================"
## [1] "RESULTS FOR VARIABLE notes_size"
## [1] "========================================================================"
## [1] ""
## [1] ""
## [1] ""
## [1] ""
## [1] "Boxplot on contributors only: "
## [1] ""
## [1] ""
## [1] "Time frame: one month"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 218 123 189
## [1] ""
## [1] "Summary Statistics for variable notes_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -16.00000000 0.00000000 0.00000000 -0.06116208 0.00000000
## 2 CFM -46.00000000 0.00000000 0.00000000 -0.31066911 0.00000000
## 3 CRM -30.00000000 0.00000000 0.00000000 -0.23890988 0.00000000
## x.Max.
## 1 9.66666667
## 2 11.00000000
## 3 6.33333333
## [1] ""
## [1] ""
## [1] "notes_size is significantly influenced by an event for one month"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.09721944 NA
## CRM 0.92901542 0.09721944
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: six months"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 185 102 139
## [1] ""
## [1] "Summary Statistics for variable notes_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -11.50000000 0.00000000 0.00000000 0.21940798 0.00000000
## 2 CFM -13.33333333 0.00000000 0.00000000 0.75148760 0.78541667
## 3 CRM -38.00000000 0.00000000 0.00000000 0.01993748 0.00000000
## x.Max.
## 1 17.40000000
## 2 14.00000000
## 3 26.50000000
## [1] ""
## [1] ""
## [1] "notes_size is significantly influenced by an event for six months"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.02809269 NA
## CRM 0.76061625 0.06340557
## [1] "Cohends d for effect size of the CFM on notes_size :"
##
## Cohen's d
##
## d estimate: -0.1850486 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.42826972 0.05817259
## [1] ""
## [1] "N:"
## [1] 102
## [1] "N:"
## low income lower middle income upper middle income
## 4 9 26
## high income
## 63
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 low income -13.33333333 -2.61458333 1.37916667 -2.17500000
## 2 lower middle income -3.33333333 0.00000000 0.00000000 0.06831392
## 3 upper middle income -3.65753425 0.00000000 0.00000000 1.41161521
## 4 high income -4.00000000 0.00000000 0.00000000 0.76245896
## x.3rd Qu. x.Max.
## 1 1.81875000 1.87500000
## 2 0.30946399 2.39393939
## 3 0.66666667 14.00000000
## 4 0.42083333 12.00000000
## [1] ""
## [1] "N:"
## Japanese Latin American Western Other
## 16 27 46 13
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 Japanese -1.42708333 -0.16666667 0.00000000 -0.06167948
## 2 Latin American -13.33333333 0.00000000 0.00000000 0.89381575
## 3 Western -4.00000000 0.00000000 0.00000000 0.93200540
## 4 Other 0.00000000 0.00000000 0.00000000 0.81794872
## x.3rd Qu. x.Max.
## 1 0.00000000 1.71428571
## 2 0.56682207 14.00000000
## 3 0.83750000 12.00000000
## 4 1.52941176 4.47058824
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: one year"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 168 93 115
## [1] ""
## [1] "Summary Statistics for variable notes_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -29.5000000 0.0000000 0.0000000 0.1524223 0.0000000
## 2 CFM -61.0000000 0.0000000 0.0000000 0.6470461 0.6363636
## 3 CRM -13.6000000 0.0000000 0.0000000 -0.1897661 0.0000000
## x.Max.
## 1 35.5000000
## 2 51.0000000
## 3 14.6666667
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
## [1] ""
## [1] "Time frame: two years"
## [1] ""
## [1] "N:"
## CG CFM CRM
## 133 76 85
## [1] ""
## [1] "Summary Statistics for variable notes_size"
## Group.1 x.Min. x.1st Qu. x.Median x.Mean x.3rd Qu.
## 1 CG -27.833333 0.000000 0.000000 0.495525 0.000000
## 2 CFM -28.647059 0.000000 0.000000 1.751752 3.352733
## 3 CRM -7.250000 0.000000 0.000000 1.635393 0.000000
## x.Max.
## 1 49.000000
## 2 44.111111
## 3 54.000000
## [1] ""
## [1] ""
## [1] "notes_size is significantly influenced by an event for two years"
## [1] ""
## [1] ""
## [1] "Pairwise comparison: "
## CG CFM
## CFM 0.03929447 NA
## CRM 0.13319081 0.3097795
## [1] "Cohends d for effect size of the CFM on notes_size :"
##
## Cohen's d
##
## d estimate: -0.1591461 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.4430495 0.1247573
## [1] ""
## [1] "N:"
## [1] 76
## [1] "N:"
## low income lower middle income upper middle income
## 2 7 16
## high income
## 51
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 low income 2.6863799 3.3897849 4.0931900 4.0931900
## 2 lower middle income -17.3333333 -0.3152810 0.0000000 -1.2166109
## 3 upper middle income -11.0000000 -0.0312500 0.0000000 0.9002379
## 4 high income -28.6470588 0.0000000 0.0000000 2.3344951
## x.3rd Qu. x.Max.
## 1 4.7965950 5.5000000
## 2 2.0333333 5.3809524
## 3 2.4775000 13.8333333
## 4 3.0758145 44.1111111
## [1] ""
## [1] "N:"
## Japanese Latin American Western Other
## 12 21 36 7
## [1] ""
## [1] "Summary Statistics: "
## Group.1 x.Min. x.1st Qu. x.Median x.Mean
## 1 Japanese -1.277777778 0.000000000 1.083333333 2.361784297
## 2 Latin American -11.000000000 0.000000000 0.000000000 1.702554155
## 3 Western -28.647058824 -0.668999746 0.000000000 1.916237533
## 4 Other -17.333333333 0.000000000 0.000000000 0.007651628
## x.3rd Qu. x.Max.
## 1 2.225694444 13.000000000
## 2 4.000000000 26.000000000
## 3 3.555128205 44.111111111
## 4 1.776780698 13.833333333
## [1] ""
## [1] ""
## [1] ""
## [1] "--------------------------------------------------------------------------------"
## [1] ""
## [1] ""
#rmarkdown::render("052-Seniors-Analyses.R", "html_document")